Analysis name: ADvsControl
Enrichment database: Reactome_2016
| Control (N=20) |
AD (N=24) |
Overall (N=44) |
|
|---|---|---|---|
| PHF1 | |||
| Mean (SD) | 0.0985 (0.236) | 1.67 (1.12) | 1.20 (1.19) |
| Median [Min, Max] | 0.00623 [0.000519, 0.679] | 1.92 [0.00839, 3.57] | 0.679 [0.000519, 3.57] |
| Missing | 12 (60.0%) | 5 (20.8%) | 17 (38.6%) |
| amyloid | |||
| Mean (SD) | 0.422 (0.333) | 3.61 (2.68) | 2.70 (2.69) |
| Median [Min, Max] | 0.334 [0.0456, 0.968] | 3.13 [0.0577, 8.38] | 1.48 [0.0456, 8.38] |
| Missing | 12 (60.0%) | 4 (16.7%) | 16 (36.4%) |
| PMD | |||
| Mean (SD) | 26.2 (12.2) | 25.1 (14.0) | 25.6 (13.1) |
| Median [Min, Max] | 23.0 [9.00, 47.0] | 23.5 [8.00, 53.0] | 23.0 [8.00, 53.0] |
Dependent variable: diagnosis
Differential expression design: ~diagnosis + age + sex
+ PMD
Log2 Fold Change threshold: 0.2
Adjusted p value threshold: 0.05
Filter protein coding genes: TRUE
Dependent variable: diagnosis
Differential expression design: ~0 + diagnosis
Actual design (if denoising in processing step): ~0 +
diagnosis + PMD + sex + age Log2 Fold Change threshold:
0.2 Adjusted p value threshold: 0.05
Correlation between transcriptomics/proteomics: 0.2230267
We found a r=0.2230267 correlation between pairwise log2FoldChanges (p-value <0.05) indicating a moderate positive correlation between the mRNA and protein level changes, which is reinforced by the existence of discordant pairs.
multiGSEA works with nested lists where each sublist represents an omics layer. The function rankFeatures calculates the pre-ranked features, that are needed for the subsequent calculation of the enrichment score. rankFeatures calculates the a local statistic ls based on the direction of the fold change and the magnitude of its significance
Omix v1.0.0 – 2023-06-15 16:45:31
A report by Omix